Genetic and environmental factors, including adverse childhood experiences (ACEs), contribute to substance use disorders (SUDs). However, the interactions between these factors are poorly understood.

We examined associations between SUD polygenic scores (PGSs), ACEs, and the initiation of use and severity of alcohol (AUD), opioid use disorder (OUD), and cannabis use disorder (CanUD) in 10,275 individuals (43.5% female, 47.2% African-like ancestry [AFR], and 52.8% European-like ancestry [EUR]). ACEs and SUD severity were modeled as latent factors. We conducted logistic and linear regressions within ancestry groups to examine the associations of ACEs, PGS, and their interaction with substance use initiation and SUD severity.

All three SUD PGS were associated with ACEs in EUR individuals, indicating a gene–environment correlation. Among EUR individuals, only the CanUD PGS was associated with initiating use, whereas ACEs were associated with initiating use of all three substances in both ancestry groups. Additionally, a negative gene-by-environment interaction was identified for opioid initiation in EUR individuals. ACEs were associated with all three SUD severity latent factors in EUR individuals and with AUD and CanUD severity in AFR individuals. PGS were associated with AUD severity in both ancestry groups and with CanUD severity in AFR individuals. Gene-by-environment interactions were identified for AUD and CanUD severity among EUR individuals.

Findings highlight the roles of ACEs and polygenic risk in substance use initiation and SUD severity. Gene-by-environment interactions implicate ACEs as moderators of genetic susceptibility, reinforcing the importance of considering both genetic and environmental influences on SUD risk.

A disproportionate number of people with mental ill-health experience social exclusion. Appropriate measurement tools are required to progress opportunities to improve social inclusion. We have developed a novel measure, the Filia Social Inclusion Measure (F-SIM). Here we aimed to present a more concise, easy-to-use form, while retaining its measurement integrity by (i) refining the F-SIM using traditional and contemporary item-reduction techniques; and (ii) testing the psychometric properties of the reduced measure.

Five hundred and six participants completed the F-SIM, younger and older groups of people with serious mental illness (including psychosis, mood, anxiety disorders) and same-aged community counterparts. The F-SIM was completed at baseline and 2-week follow-up, alongside other measures (including social inclusion, loneliness). The F-SIM was refined using multidimensional scaling network analysis, confirmatory factor analysis and item response theory. The psychometric evaluation included assessment of dimensionality, internal consistency, test–retest reliability, discriminant ability and construct validity.

The F-SIM was reduced from 135-items to 16; with 4-items in each domain of housing and neighbourhood, finances, employment and education and social participation and relationships. Psychometric properties were sound, including strong internal consistency within domains (all α > 0.85) and excellent overall (α = 0.92). Test–retest reliability was also high (γ = 0.90). Differences between groups were observed; clinical subgroups consistently reported lower levels of social inclusion compared to community counterparts.

The F-SIM16 is a sound, reliable, brief self-report measure of social inclusion suitable for use in clinical and research settings. It has the potential to evaluate the effectiveness of interventions, and aid in fostering targeted and personalised needs-based care.

High unemployment is a hallmark of psychotic illness. Individual placement and support (IPS) may be effective at assisting the vocational recoveries of young people with first-episode psychosis (FEP).

To examine the effectiveness of IPS at assisting young people with FEP to gain employment (Australian and Clinical Trials Registry ACTRN12608000094370).

Young people with FEP (n = 146) who were interested in vocational recovery were randomised using computer-generated random permuted blocks on a 1:1 ratio to: (a) 6 months of IPS in addition to treatment as usual (TAU) or (b) TAU alone. Assessments were conducted at baseline, 6 months (end of intervention), 12 months and 18 months post-baseline by research assistants who were masked to the treatment allocations.

At the end of the intervention the IPS group had a significantly higher rate of having been employed (71.2%) than the TAU group (48.0%), odds ratio 3.40 (95% CI 1.17–9.91, z = 2.25, P = 0.025). However, this difference was not seen at 12- and 18-month follow-up points. There was no difference at any time point on educational outcomes.

This is the largest trial to our knowledge on the effectiveness of IPS in FEP. The IPS group achieved a very high employment rate during the 6 months of the intervention. However, the advantage of IPS was not maintained in the long term. This seems to be related more to an unusually high rate of employment being achieved in the control group rather than a gross reduction in employment among the IPS group.

None.